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Video Quality: Relating Quality to Specs and Need

You will edit any video for the story. One core question defines everything:

What is the quality of a video?

The quality that we sell or talk about often defines presentation, not the story. Cameras, codecs, picture profiles, LOG, or RAW do not automatically create a good video. They only provide options and flexibility in how the story is presented.

Key questions every creator must think about:

  • Will you colour correct?

  • Will you shoot LOG for great stories and efficient workflows?

  • Will you shoot RAW?

Each of these choices directly affects your workflow, file sizes, time investment, and creative freedom.

 

What Is a Camera?

A camera is essentially a data-capturing device.

It records light hitting the sensor and converts it into digital information. Unlike human vision, a camera does not interpret emotion, depth, or intent — it only captures data.

How this data is:

  • Processed

  • Compressed

  • Stored

  • Presented

defines the final image or video we see.

 

Human Eye Versus Camera

The human eye and a camera see the world very differently.

Human vision:

  • Automatically adapts to light

  • Prioritizes what matters emotionally

  • Is more sensitive to changes in dark tones

Cameras:

  • Record measurable light data

  • Respond linearly to light

  • Do not understand context or emotion

With a digital camera:

  • When twice the photons hit the sensor, the signal doubles

  • Humans, however, perceive twice the light as only a slight increase

We are far more sensitive to changes in shadows than highlights. This fundamental mismatch is why gamma curves, LOG profiles, and dynamic range management exist.

 

Practical Considerations: Timing and Data Handling

In real-world shooting, video quality is also limited by practicality.

Every creator must consider:

  • How much time is available to shoot and deliver

  • How much data can be stored and backed up

  • How complex the post-production workflow can be

Higher-quality capture usually means:

  • Larger files

  • Slower editing

  • Higher storage and processing costs

This is why choosing the right workflow matters more than choosing the highest specification.

 

Three Simplified Approaches to Video Shooting

At a practical level, creators usually follow one of three approaches:

Choice 1: Premix Set – Straight Out of Camera

  • Ready-to-use footage

  • Minimal post-production

  • Fast delivery

Choice 2: Premix Set + Colour Grade

  • Flexible look adjustment

  • Balanced file sizes

  • Controlled workflow

Choice 3: Shoot RAW + Full Colour Grade

  • Maximum data capture

  • Highest flexibility

  • Heavier workflows

These premix settings are commonly known as Picture Profiles.

 

Picture Profiles: Making Technology Relatable

Picture profiles form the foundation of a camera’s colour science.

They are premix solutions designed to deliver:

  • Consistency

  • Predictable results

  • Brand-specific looks (for example, cinematic profiles like Cinetone)

Picture profiles process video signals before compression by:

  • Modifying gamma curves

  • Correcting colour before compression damage occurs

Picture Profiles Are a Combination of:

  • Colour space (colour gamut)

  • Non-linear data conversion (gamma curves)

  • Edge detail and sharpness parameters

Common Examples:

  • S-Log 1, 2, 3

  • Cine4

  • Cinelike

  • HLG3

 

Gamma Curves Explained Simply

Gamma defines how smoothly black transitions into white on a digital display.

It is commonly expressed using numbers like 2.2 or 2.4, which represent the curve’s shape.

Why Gamma Matters:

  • Helps separate shades of grey

  • Controls contrast between highlights and shadows

  • Improves tonal transitions

LOG is one type of gamma curve designed to preserve more usable image data.

Gamma curves compensate for:

  • Limited bit depth

  • Limited dynamic range

They prioritize midtone detail, where human vision is most sensitive.

 

What Is Important — and What Is Unacceptable

If a gamma curve is poorly implemented:

  • Black-to-white transitions become uneven

  • Grey tones merge

  • Colour accuracy suffers

This directly impacts image quality and viewing comfort.

 

Dynamic Range and Contrast

Dynamic range refers to the difference between the darkest and brightest parts of a scene.

Understanding Middle Grey:

Middle grey is based on reflectance. When a surface reflects 50% of the light falling on it, it is considered middle grey.

 

What Does a LOG Shoot Do?

Humans are most sensitive to tones around middle grey.

In high-contrast scenes, LOG:

  • Shifts middle grey slightly to the right

  • Preserves shadow detail

  • Distributes light more evenly across the image

How LOG Works:

  • Maximizes midtone information

  • Protects darker areas

  • Places middle grey around 32–38%

The primary goal of LOG is shadow preservation, not just highlight protection.

 

Shooting RAW: Maximum Data Capture

RAW video captures everything the sensor sees.

Characteristics of RAW:

  • Very large file sizes

  • Often proprietary formats

To address compatibility, Adobe introduced DNG (Digital Negative) as an open RAW standard.

Common RAW Formats:

  • R3D

  • ARW

  • CR3

  • DNG (universal, open standard)

The RAW workflow remains consistent:

  1. Capture

  2. Import

  3. Process

  4. Export to universal formats

RAW offers maximum flexibility but requires careful planning and infrastructure.

 

Sampling, Compression, and Why Data Is Limited

Most video data captured by a camera is sampled data, not complete data.

This is done to:

  • Keep file sizes manageable

  • Make storage and processing economically viable

Over time, manufacturers have developed compression methods based on universal logic. The chosen compression depends on:

  • Required quality

  • Workflow needs

  • Storage and processing limitations

The compression decision is effectively made at the time of shooting.

 

How Cameras See Colour

Cameras do not truly “see” colour. They approximate colour using mathematical models.

  • Each manufacturer uses its own colour science

  • Colour interpretation differs across brands

This is why footage from different cameras looks different even under identical lighting conditions.

(Refer to our detailed video on “How Cameras See Colour” for deeper understanding.)

 

How Modern Cameras Address All Storytellers

Modern cameras are designed to support creators across all skill levels.

They:

  • Mix proven colour science from photography and cinema cameras

  • Increase flexibility by prioritizing detail where it matters most

  • Perform well in both low-light and high-contrast scenes

  • Offer manageable file sizes with RAW-like flexibility

These systems provide solutions that were once limited to professional cinema cameras.

 

Types of Users

Vlogging

  • Fast setup

  • Ready-to-use footage

  • Minimal post-production

Cinema All-Rounder

  • LOG or RAW options

  • Strong dynamic range

  • Creative flexibility

Professional Hybrid

  • High-quality photo and video

  • Advanced picture profiles

  • Reliable workflows

Hybrid Enthusiast

  • Learning-focused

  • Flexible capture options

  • Scalable quality levels

 

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